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Instructors: Prof. Dr.-techn. Johannes Fürnkranz
Event type:
Project
Org-unit: Dept. 20 - Computer Science
Displayed in timetable as:
Practical Project Knowledge Engineering and Machine Learning
Subject:
Crediting for:
Hours per week:
6
Language of instruction:
German and English
Min. | Max. participants:
- | -
Course Contents:
In the course of this practical project, students implement a larger, predefined task in the areas of knowledge engineering, artificial intelligence, machine learning or data mining. The topics will be defined in collaboration with their tutor.
Possible areas:
- Machine Learning and Data Mining
- Inductive Rule Learning
- Learning from Preferences
- Multilabel Classification
- Information Extraction
- Web Mining
- Semantic Web
- Game Playing
Concrete tasks will be assigned on an individual basis. The project can be started at any time.
Students that are interested in such a project, please contact a staff member of the Knowledge Engineering group (http://www.ke.tu-darmstadt.de).
Preconditions:
Basic knowledge in Knowledge Engineering, Artificial Intelligence, Data Mining and Machine Learning.
Basic knowledge in programming (e.g. Java).
Autonomous work and Interest on actual research.
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